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Foojay Podcast #86: Agents, MCP, and Graph Databases: Java Developers Navigate the AI Revolution

Mon, 15 Dec 2025 00:00:00 +0000

AI tools keep landing on Java teams faster than anyone can evaluate them. The real question is not whether to use them, but how to keep production code reliable when agents start writing parts of it. For this episode we gathered short interviews from Devoxx and JFall, with Marianne Hoornenborg, Viktor Gamov, Baruch Sadogursky, Stephen Chin, Mario Fusco, Jeroen Benckhuijsen, Martijn Dashorst, Maarten Mulders, and Simon Maple in Foojay Podcast #86.

Foojay Podcast #62: Better Coding with AI: Friend or Enemy?

Mon, 02 Dec 2024 00:00:00 +0000

AI tools promise faster code and smarter suggestions, but how far can we trust them inside a real Java project? In this Foojay Podcast #62, we sat down with Grace Jansen, Sean Li, John Sterken, David Vlijmincx, Urs Peter, and Joost Kaan to compare notes on what works, what breaks, and where developers still need to stay in the driver’s seat.

Foojay Podcast #49: JCON Report, Part 1 - JUGs, Communities, Open Source, Generative AI, LangChain4j, Machine Learning

Tue, 21 May 2024 00:00:00 +0000

Walking the floor at a Java conference is the fastest way to learn what the community actually cares about right now. We packed a microphone and took the Foojay Podcast on the road to JCON in Cologne, capturing short conversations between sessions. We talked with Geertjan Wielenga, Markus Kett, Richard Fichtner, Jonathan Vila, Soham Dasgupta, Mary Grygleski, Mohammed Aboullaite, Simon de Groot, and Richelle Bussenius for episode #49.

Foojay Podcast #47: Artificial Intelligence and Machine Learning with Java

Mon, 15 Apr 2024 00:00:00 +0000

ChatGPT changed the way many of us think about software, but the Java ecosystem already has the tools to join in. Frameworks like LangChain4j make it possible to wire large language models into real applications without leaving the JVM. In this Foojay Podcast #47, we sat down with Lize Raes and Lutske de Leeuw to talk through what AI and machine learning look like from a Java developer’s chair.